Artificial Neural Networks and Machine Learning – ICANN 2011, Part 1
Book Details
| Author | Timo Honkela Włodzisław Duch |
|---|---|
| Publisher | Springer |
| Published Year | 2011 |
| Pages | 413 |
| Language | English |
| ISBN-10 | 9783642217340 |
| ISBN-13 | 978-3642217340 |
Artificial Neural Networks and Machine Learning ICANN 2011 Part 1 is a collection of peer-reviewed research papers presented at the 21st International Conference on Artificial Neural Networks. Edited by Timo Honkela and Wlodzislaw Duch, the book focuses on advancements in neural networks, deep learning, and machine learning. It is an ideal reference for researchers and students in the field of artificial intelligence.
Add to Bookmark
Recommended Books For You
Numerical Algorithms Methods for Computer Vision, Machine Learning, and Graphics
By : Justin Solomon
Pattern Recognition and Machine Learning Solutions to the Exercises: Tutors’ Edition
By : Christopher M. Bishop
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
Tutorials
Follow us on Linkedin
Random Blogs
- Understanding SQL vs MySQL vs PostgreSQL vs MS SQL vs Oracle and Other Popular Databases
- Deep Learning (DL): The Core of Modern AI
- Types of Numbers in Python
- OLTP vs. OLAP Databases: Advanced Insights and Query Optimization Techniques
- The Ultimate Guide to Machine Learning (ML) for Beginners
- Understanding Data Lake, Data Warehouse, Data Mart, and Data Lakehouse – And Why We Need Them
- Career Guide: Natural Language Processing (NLP)
- 10 Awesome Data Science Blogs To Check Out
- Top 15 Recommended SEO Tools
- Best Platform to Learn Digital Marketing in Free
- Internet of Things (IoT) & AI – Smart Devices and AI Working Together
- Understanding OLTP vs OLAP Databases: How SQL Handles Query Optimization
- SQL Joins Explained: A Complete Guide with Examples
- What is YII? and How to Install it?
- How to Become a Good Data Scientist ?
- Create Virtual Host for Nginx on Ubuntu (For Yii2 Basic & Advanced Templates)
Datasets for Machine Learning
- Awesome-ChatGPT-Prompts
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset